ML blind channel estimation in OFDM using cyclostationarity and spectral factorization

A. A. Quadeer, T. Y. Al-Naffouri

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

4 Citations (Scopus)

Abstract

Channel estimation is vital in OFDM systems for efficient data recovery. In this paper, we propose a blind algorithm for channel estimation that is based on the assumption that the transmitted data in an OFDM system is Gaussian (by central limit arguments). The channel estimate can then be obtained by maximizing the output likelihood function. Unfortunately, the likelihood function turns out to be multi-modal and thus finding the global maxima is challenging. We rely on spectral factorization and the cyclostationarity of the output to obtain the correct channel zeros. The Genetic algorithm is then used to fine tune the obtained solution.

Original languageEnglish
Title of host publication2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2010
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2010 - Marrakech, Morocco
Duration: 20 Jun 201023 Jun 2010

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2010
Country/TerritoryMorocco
CityMarrakech
Period20/06/1023/06/10

Keywords

  • Blind channel estimation
  • Genetic algorithm
  • Maximum likelihood estimation
  • Spectral factorization

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